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The first suspected disseminated infection in China, diagnosed using metagenomic next-generation sequencing: a case report and literature review. | LitMetric

AI Article Synopsis

  • A rare fungal infection in patients with blood cancers has a high mortality rate of around 70%.
  • The first case of suspected widespread infection in China involved a patient with a second relapse of acute myeloid leukemia, who exhibited severe symptoms and lesions.
  • Advanced diagnostics like metagenomic next-generation sequencing (mNGS) helped identify the infection, indicating that mNGS is crucial for rapidly detecting such invasive infections.

Article Abstract

is a rare and emerging cause of invasive mould infections in patients with haematological malignancies, with a mortality rate of approximately 70%. Here, we present the first reported case of suspected disseminated infection in China. The patient experienced a second relapse of acute myeloid leukaemia and developed neutropenia, fever, discrepant blood pressure between limbs, and cutaneous lesions limited to the left upper extremity. Since lung tissue biopsy was not feasible, metagenomic next-generation sequencing (mNGS) and panfungal polymerase chain reaction (PCR) analysis of bronchoalveolar lavage fluid and blood samples were performed, which indicated probable pulmonary infection. Histopathology of cutaneous lesions revealed numerous fungal hyphae within dermal blood vessels. mNGS of a skin biopsy sample identified sequences, and the fungi was subsequently recovered from fungal culture, proving cutaneous infection. Despite combined antifungal therapy, the patient died owing to disease progression. Additionally, 22 previously reported cases of invasive infection were reviewed in patients with haematological malignancies. Thus, mNGS is a powerful diagnostic tool for the early and effective detection of invasive infections, with the advantage of sequencing all potential pathogens, and providing results within 24 h.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259343PMC
http://dx.doi.org/10.1080/22221751.2023.2220581DOI Listing

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